Media Rendering Synchronization with Breathing Phases
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing media consumption technologies fail to optimize the timing of media content rendering based on a user's breathing sequence, which can affect attention, response to stimuli, and memory, as brain activity varies with different breathing phases.
Innovation Solution
An apparatus and method that obtain a predicted breathing sequence of a user and a desired breathing phase for media content, causing the media to be rendered at a time aligned with the predicted breathing sequence, using a processor and memory with computer program code to control the rendering of media content, such as video, audio, or text, to enhance user engagement and comprehension.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If media content is rendered at fixed intervals or on-demand without considering user physiology, then device complexity is reduced and ease of operation is improved, but attention and comprehension of the media content deteriorate
Solution Approach 1:
The system performs preliminary monitoring and prediction of the user's breathing sequence before rendering media content. By obtaining a predicted breathing sequence in advance and identifying optimal rendering times based on predicted breathing phases, the system prepares synchronization data beforehand, reducing real-time computational complexity while maintaining improved attention and comprehension
Solution Approach 2:
The system continuously monitors the user's actual breathing sequence and compares it with the predicted breathing sequence. This feedback mechanism allows the system to adjust rendering timing dynamically, ensuring optimal synchronization with the user's breathing phases while adapting to changes in breathing patterns, thereby maintaining high attention and comprehension without requiring complete re-planning
2Reliability
If media content rendering is synchronized with breathing phases, then attention and memory are improved, but timing precision and temporal alignment requirements increase
Solution Approach 1:
The system dynamically adjusts media content rendering timing based on the user's actual breathing sequence rather than using fixed intervals. By obtaining actual breathing phases and comparing them with predicted phases, the system flexibly schedules rendering operations to align with optimal breathing phases (such as exhalation for memory consolidation), achieving high temporal precision without rigid constraints
Solution Approach 2:
The system pre-calculates optimal rendering times based on the predicted breathing sequence before media content is actually rendered. This preliminary timing planning allows the system to prepare synchronization strategies in advance, reducing the real-time precision burden while ensuring that rendering occurs at optimal breathing phases for enhanced memory and stimulus response
Data Source
AI summary
An apparatus comprising means for: obtaining a predicted breathing sequence of a user; obtaining a desired breathing phase for consuming a first media content; and causing rendering of the first media content to the user at a first time which is based, at least in part, on a predicted time in the predicted breathing sequence at which the desired breathing phase occurs.